Guided Policy Search Model-based Reinforcement Learning for Urban Autonomous Driving.
Zhuo XuJianyu ChenMasayoshi TomizukaPublished in: CoRR (2020)
Keyphrases
- policy search
- model based reinforcement learning
- autonomous driving
- reinforcement learning
- urban traffic
- markov decision processes
- reinforcement learning algorithms
- markov decision problems
- grand challenge
- partially observable markov decision processes
- reward function
- stereo vision
- dynamic programming
- state space
- finite state
- function approximation
- partially observable
- linear programming
- optimal policy
- multi agent
- traffic congestion
- traffic flow
- dynamical systems
- average cost
- utility function
- search space
- learning algorithm
- decision processes
- policy iteration
- queueing networks
- decision problems
- sufficient conditions